Motion planning at urban intersections that accounts for the situation context, handles
occlusions, and deals with measurement and prediction uncertainty is a major challenge on …

Currently autonomous or self-driving vehicles are at the heart of academia and industry
research because of its multi-faceted advantages that includes improved safety, reduced …

As a fundamental component of autonomous driving systems, motion planning has garnered
significant attention from both academia and industry. This paper focuses on efficient and …

We present the motion planning framework for an autonomous vehicle navigating through
urban environments. Such environments present a number of motion planning challenges …

Autonomous vehicles must be able to react in a timely manner to typical and unpredictable
situations in urban scenarios. In this connection, motion planning algorithms play a key role …

The deployment of autonomous vehicles on public roads calls for the development of
methods that are reliably able to mitigate injury severity in case of unavoidable collisions …

We present the motion planning framework for an autonomous vehicle navigating through
urban environments. Such environments present a number of motion planning challenges …

Research in the field of automated driving has created promising results in the last years.
Some research groups have shown perception systems which are able to capture even …

Path planning is a key component in motion planning for autonomous vehicles. A path
specifies the geometrical shape that the vehicle will travel, thus, it is critical to safe and …

We present a motion planner for autonomous on-road driving, especially on highways. It
adapts the idea of a on-road state lattice. A focused search is performed in the previously …